Suppr超能文献

高效评估脑雾和疲劳:疲劳和认知改变量表(FACs)的制定。

Efficient assessment of brain fog and fatigue: Development of the Fatigue and Altered Cognition Scale (FACs).

机构信息

Department of Educational Psychology, Texas A&M University, College Station, Texas, United States of America.

Department of Individual, Family, and Community Education, University of New Mexico, Albuquerque, New Mexico, United States of America.

出版信息

PLoS One. 2023 Dec 11;18(12):e0295593. doi: 10.1371/journal.pone.0295593. eCollection 2023.

Abstract

Debilitating symptoms of fatigue and accompanying "brain fog" are observed among patients with various chronic health conditions. Unfortunately, an efficient and psychometrically sound instrument to assess these co-occurring symptoms is unavailable. Here, we report the development and initial psychometric properties of the Fatigue and Altered Cognition Scale (the FACs), a measure of self-reported central fatigue and brain fog. Traumatic brain injury (TBI) was chosen to model and develop the FACs due to research team expertise and established links between TBI and the symptom complex. Potential items were generated by researchers and clinicians with experience treating these symptoms, drawing from relevant literature and review of patient responses to measures from past and current TBI studies. The 20 candidate items for the FACs-ten each to assess altered cognition (i.e., brain fog) and central fatigue-were formatted on an electronic visual analogue response scale (eVAS) via an online survey. Demographic information and history of TBI were obtained. A total of 519 participants consented and provided usable data (average age = 40.23 years; 73% female), 204 of whom self-reported a history of TBI (75% reported mild TBI). Internal consistency and reliability values were calculated. Confirmatory factor analysis (CFA) examined the presumed two-factor structure of the FACs and a one-factor solution for comparison. A measurement invariance test of the two latent constructs (altered cognition, fatigue) among participants with and without TBI was conducted. All items demonstrated normal distribution. Cronbach's alpha coefficients indicated good internal consistency for both factors (α's = .95). Omega reliability values were favorable (α's = .95). CFA supported the presumed two-factor model and item loadings which outperformed the one-factor model. Measurement invariance found the two-factor structure was consistent between the two groups. Implications of these findings, study limitations, and potential use of the FACs in clinical research and practice are discussed.

摘要

在各种慢性健康状况的患者中观察到疲劳和伴随的“大脑雾”等衰弱症状。不幸的是,目前还没有一种有效的、具有心理测量学意义的工具来评估这些共存的症状。在这里,我们报告了疲劳和认知改变量表(FACs)的开发和初步心理测量特性,这是一种自我报告的中枢疲劳和大脑雾的测量方法。选择创伤性脑损伤(TBI)来对 FACs 进行建模和开发,是因为研究团队的专业知识以及 TBI 与症状复杂之间的既定联系。潜在的项目是由有治疗这些症状经验的研究人员和临床医生通过相关文献和对过去和当前 TBI 研究中使用的措施的患者反应的回顾生成的。FACs 的 20 个候选项目-每个项目用于评估认知改变(即大脑雾)和中枢疲劳-通过在线调查在电子视觉模拟响应量表(eVAS)上进行格式化。收集了人口统计学信息和 TBI 病史。共有 519 名参与者同意并提供了可用数据(平均年龄= 40.23 岁;73%为女性),其中 204 名参与者报告有 TBI 病史(75%报告轻度 TBI)。计算了内部一致性和可靠性值。验证性因子分析(CFA)检验了 FACs 的假定两因素结构和一个单因素解决方案的比较。对有和没有 TBI 的参与者的两个潜在结构(认知改变、疲劳)进行了测量不变性测试。所有项目均呈正态分布。克朗巴赫的 alpha 系数表明两个因素的内部一致性都很好(alpha's =.95)。奥米茄可靠性值也很好(alpha's =.95)。CFA 支持假定的两因素模型和项目负荷,其表现优于单因素模型。测量不变性发现两个因素结构在两组之间是一致的。讨论了这些发现的意义、研究的局限性以及 FACs 在临床研究和实践中的潜在用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b6/10712873/59ac49d2bb04/pone.0295593.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验